# ScaleGrowth.Digital

> ScaleGrowth.Digital is a growth engineering firm based in Mumbai, India.
> We build AI visibility systems, SEO audits, and WebMCP implementations
> for mid-market and enterprise brands.

## Key Facts

- Founded: 2023
- Founder: Hardik Shah
- Location: Mumbai, India
- Website: https://scalegrowth.digital
- Specialties: AI Visibility, Technical SEO, WebMCP, Content Strategy

## Services

- [AI Visibility](/services/ai-visibility/): Measurement and optimization
  for how brands appear in ChatGPT, Gemini, Perplexity, and AI Overviews
- [WebMCP](/services/webmcp/): Model Context Protocol implementation
  that gives AI agents structured access to your site
- [Technical SEO](/services/seo/technical/): Core Web Vitals, crawl
  architecture, schema markup, and indexation management

## Key Content

- [Blog](/blog/): Research-backed guides on AI visibility and SEO
- [WebMCP Checker](/webmcp-checker/): Free tool to test any site's
  MCP readiness

• Organization name, founding year, location, and a one-sentence description. These are the facts LLMs most commonly get wrong when they don’t have a source.
• Your primary services or product categories, each with a one-line description and a link to the relevant page.
• Key people (founders, CEO, subject matter experts) with their titles. This connects to the Person entity in Knowledge Graphs.
• Your 5-10 most important pages with brief descriptions. Guide the LLM to the content you want it to reference.
• Any numbers that define your business: years in operation, number of clients, certifications, geographic reach.

• Tools that the AI can call (check inventory, calculate a quote, submit a form, search your content).
• Resources that provide structured data on demand (product catalogs, pricing tables, FAQs, documentation).
• Prompts that give the AI pre-built interaction templates specific to your business context.

“llm.txt tells AI what you are. WebMCP lets AI work with what you offer. That’s the shift every site owner needs to understand. We went from publishing facts to publishing capabilities. The sites that do this first are the ones AI agents will default to for their entire category.”

Hardik Shah, Founder of ScaleGrowth.Digital

// Basic MCP server setup (Node.js with @modelcontextprotocol/sdk)
import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js";
import { StdioServerTransport } from
  "@modelcontextprotocol/sdk/server/stdio.js";
import { z } from "zod";

const server = new McpServer({
  name: "your-company-mcp",
  version: "1.0.0",
});

// Expose a tool: check service availability
server.tool(
  "check-service-availability",
  "Check whether a specific service is available for a given region",
  {
    service: z.string().describe("The service name to check"),
    region: z.string().describe("Geographic region"),
  },
  async ({ service, region }) => {
    const result = await checkAvailability(service, region);
    return {
      content: [{
        type: "text",
        text: JSON.stringify(result),
      }],
    };
  }
);

// Expose a resource: company overview
server.resource(
  "company-overview",
  "company://overview",
  async (uri) => ({
    contents: [{
      uri: uri.href,
      mimeType: "text/plain",
      text: "Company name, services, key facts..."
    }],
  })
);

const transport = new StdioServerTransport();
await server.connect(transport);

1. Audit your current entity representation across ChatGPT, Gemini, Perplexity, and Claude. Ask each one about your brand and record what they get right and wrong.
2. Write your llm.txt with correct entity facts, service descriptions, and links to key pages.
3. Deploy to your domain root. Verify it’s accessible at yourdomain.com/llm.txt.
4. Re-test AI responses after 2-4 weeks. Track accuracy improvements.

1. Document your API endpoints using OpenAPI 3.0 spec.
2. Write the ai-plugin.json manifest with clear model-facing descriptions.
3. Deploy both files to /.well-known/ and test with OpenAI’s validator.
4. Register as a GPT Action.

1. Identify 3-5 high-value tools your MCP server should expose. What queries do people ask about your business? What actions would an AI agent want to perform?
2. Set up an MCP server using the official SDK (Node.js, Python, or TypeScript).
3. Define resources for your core business data (services, pricing, FAQs, case studies).
4. Test with Claude Desktop or another MCP-compatible client.
5. Monitor agent interactions and iterate on tool descriptions.

“We built our MCP server in February 2026 and within 6 weeks it was generating more qualified inbound leads than our blog. Not because the blog stopped working, but because AI agents could now take someone from ‘who does AI visibility work’ to ‘here’s ScaleGrowth’s scope and pricing’ in a single conversation. That’s a 90-second sales cycle that used to take 3 website visits and a form fill.”

Hardik Shah, Founder of ScaleGrowth.Digital